wolf-strategy

📁 senpi-ai/senpi-skills 📅 1 day ago
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安装命令
npx skills add https://github.com/senpi-ai/senpi-skills --skill wolf-strategy

Agent 安装分布

mcpjam 13
iflow-cli 13
claude-code 13
junie 13
windsurf 13
zencoder 13

Skill 文档

WOLF v6 — Autonomous Multi-Strategy Trading

The WOLF hunts for its human. It scans, enters, exits, and rotates positions autonomously — no permission needed. When criteria are met, it acts. Speed is edge.

Proven: +$1,500 realized, 25+ trades, 65% win rate, single session on $6.5k budget.

v6: Multi-strategy support. Each strategy has independent wallet, budget, slots, and DSL config. Same asset can be held in different strategies simultaneously (e.g., Strategy A LONG HYPE + Strategy B SHORT HYPE).


Multi-Strategy Architecture

Strategy Registry (wolf-strategies.json)

Central config holding all strategies. Created/updated by wolf-setup.py.

wolf-strategies.json
├── strategies
│   ├── wolf-abc123 (Aggressive Momentum, 3 slots, 10x)
│   └── wolf-xyz789 (Conservative XYZ, 2 slots, 7x)
└── global (telegram, workspace)

Per-Strategy State

Each strategy gets its own state directory:

state/
├── wolf-abc123/
│   ├── dsl-HYPE.json
│   └── dsl-SOL.json
└── wolf-xyz789/
    ├── dsl-HYPE.json    # Same asset, different strategy, no collision
    └── dsl-GOLD.json

Signal Routing

When a signal fires, it’s routed to the best-fit strategy:

  1. Which strategies have empty slots?
  2. Does any strategy already hold this asset? (skip within strategy, allow cross-strategy)
  3. Which strategy’s risk profile matches? (aggressive gets FIRST_JUMPs, conservative gets DEEP_CLIMBERs)
  4. Route to best-fit -> open on that wallet -> create DSL state in that strategy’s dir

Adding a Strategy

python3 scripts/wolf-setup.py --wallet 0x... --strategy-id UUID --budget 2000 \
    --chat-id 12345 --name "Conservative XYZ" --dsl-preset conservative

This adds to the registry without disrupting running strategies. Disable with enabled: false in the registry.


Entry Philosophy — THE Most Important Section

Enter before the peak, not at the top.

Leaderboard rank confirmation LAGS price. When an asset jumps from #31->#16 in one scan, the price is moving NOW. By the time it reaches #7 with clean history, the move is over. Speed is edge.

Core principle: 2 reasons at rank #25 with a big jump = ENTER. 4+ reasons at rank #5 = SKIP (already peaked).


Quick Start

  1. Ensure Senpi MCP is connected (mcporter list should show senpi)
  2. Create a custom strategy wallet: use strategy_create_custom_strategy via mcporter
  3. Fund the wallet via strategy_top_up with your budget
  4. Run setup: python3 scripts/wolf-setup.py --wallet 0x... --strategy-id UUID --budget 6500 --chat-id 12345
  5. Create the 7 OpenClaw crons using templates from references/cron-templates.md
  6. The WOLF is hunting

To add a second strategy, run wolf-setup.py again with a different wallet/budget. It adds to the registry.


Architecture — 7 Cron Jobs

# Job Interval Script Purpose
1 Emerging Movers 90s scripts/emerging-movers.py Hunt FIRST_JUMP + IMMEDIATE_MOVER signals — primary entry trigger
2 DSL Combined 3min scripts/dsl-combined.py Trailing stop exits for ALL open positions across ALL strategies
3 SM Flip Detector 5min scripts/sm-flip-check.py Cut positions where SM conviction collapses
4 Watchdog 5min scripts/wolf-monitor.py Per-strategy margin buffer, liq distances, rotation candidates
5 Portfolio Update 15min (agent-driven) Per-strategy PnL reporting to user
6 Opportunity Scanner 15min scripts/opportunity-scan-v6.py Deep-dive 4-pillar scoring with BTC macro, hourly trend, disqualifiers
7 Health Check 10min scripts/job-health-check.py Per-strategy orphan DSL detection, state validation

v6 change: One set of crons for all strategies. Each script reads wolf-strategies.json and iterates all enabled strategies internally.

v6 change: Opportunity Scanner v6 replaces the old scanner with BTC macro context, hourly trend filter, hard disqualifiers, parallel candle fetches, and cross-scan momentum tracking.

Cron Setup

Critical: Crons are OpenClaw systemEvent crons, NOT senpi crons. Each cron fires a systemEvent that wakes the agent with a MANDATE.

Create each cron using the OpenClaw cron tool. The exact mandate text for each cron is in references/cron-templates.md. Read that file, replace the placeholders (only {TELEGRAM} and {SCRIPTS} in v6), and create all 7 crons.

v6 simplification: No more per-wallet/per-strategy placeholders in cron mandates. Scripts read all strategy info from the registry.


Autonomy Rules

The WOLF operates autonomously by default. The agent does NOT ask permission to:

  • Open a position when entry checklist passes
  • Close a position when DSL triggers or conviction collapses
  • Rotate out of weak positions into stronger signals
  • Cut dead weight (SM conv 0, negative ROE, 30+ min)

The agent DOES notify the user (via Telegram) after every action.


Entry Signals — Priority Order

1. FIRST_JUMP (Highest Priority)

What: Asset jumps 10+ ranks from #25+ in ONE scan AND was not in previous scan’s top 50 (or was at rank >= #30).

Action: Enter IMMEDIATELY. This is the money signal. Route to best-fit strategy with available slots.

Checklist:

  • isFirstJump: true in scanner output
  • 2+ reasons is enough (don’t require 4+)
  • vel > 0 is sufficient (velocity hasn’t had time to build on a first jump)
  • Max leverage >= 7x (check max-leverage.json)
  • Slot available in target strategy (or rotation justified)
  • = 10 SM traders (crypto); for XYZ equities, ignore trader count

What to ignore:

  • Erratic rank history — the scanner excludes the current jump from erratic checks.
  • Low velocity — first jumps haven’t had time to build velocity.

If CONTRIB_EXPLOSION accompanies it: Double confirmation. Even stronger entry.

2. CONTRIB_EXPLOSION

What: 3x+ contribution increase in one scan from asset at rank #20+.

Action: Enter even if rank history looks “erratic.” The contrib spike IS the signal regardless of prior rank bouncing.

Never downgraded for erratic history. Often accompanies FIRST_JUMP for double confirmation.

3. DEEP_CLIMBER

What: Steady climb from #30+, positive velocity (>= 0.03), 3+ reasons, clean rank history.

Action: Enter when it crosses into top 20. Route to conservative strategy if available.

4. NEW_ENTRY_DEEP

What: Appears in top 20 from nowhere (wasn’t in top 50 last scan).

Action: Instant entry.

5. Opportunity Scanner (Score 175+)

Runs every 15min. v6 scanner with BTC macro context, hourly trend classification, and hard disqualifiers. Complements Emerging Movers as a secondary signal source for deeper technical analysis.


Anti-Patterns — When NOT to Enter

  • NEVER enter assets already at #1-10. That’s the top, not the entry. Rank = what already happened.
  • NEVER wait for a signal to “clean up.” By the time rank history is smooth and velocity is high, the move is priced in.
  • 4+ reasons at rank #5 = SKIP. The asset already peaked. You’d be buying the top.
  • 2 reasons at rank #25 with a big jump = ENTER. The move is just starting.
  • Leaderboard rank != future price direction. Rank reflects past trader concentration. Price moves first, rank follows.
  • Negative velocity + no jump = skip. Slow bleeders going nowhere.
  • Oversold shorts (RSI < 30 + extended 24h move) = skip.

Late Entry Anti-Pattern

This deserves its own section because it’s the #1 way to lose money with WOLF.

The pattern: Scanner fires FIRST_JUMP for ASSET at #25->#14. You hesitate. Next scan it’s #10. Next scan #7 with 5 reasons and clean history. NOW it looks “safe.” You enter. It reverses from #5.

The fix: Enter on the FIRST signal or don’t enter at all. If you missed it, wait for the next asset. There’s always another FIRST_JUMP coming.

Rule: If an asset has been in the top 10 for 2+ scans already, it’s too late. Move on.


Phase 1 Auto-Cut

Positions that never gain momentum get cut automatically.

Rules:

  • 90-minute maximum in Phase 1 (pre-Tier 1 DSL). If ROE never hits 5% in 90 minutes, close.
  • Weak peak early cut: If peak ROE was < 3% and ROE is now declining -> close after 45 minutes. Don’t wait 90.
  • Dead weight: SM conviction = 0, negative ROE, position open 30+ minutes -> instant cut regardless of phase.

Why: Phase 1 positions have no trailing stop protection. They’re running on faith. If SM conviction doesn’t materialize in 90 min, the thesis is wrong.


Exit Rules

1. DSL v4 Mechanical Exit (Trailing Stops)

All trailing stops handled automatically by dsl-combined.py across all strategies.

2. SM Conviction Collapse

Conv drops to 0 or 4->1 with mass trader exodus -> instant cut.

3. Dead Weight

Conv 0, negative ROE, 30+ min -> instant cut.

4. SM Flip

Conviction 4+ in the OPPOSITE direction with 100+ traders -> cut immediately.

5. Race Condition Prevention

When ANY job closes a position -> immediately:

  1. Set DSL state active: false in state/{strategyKey}/dsl-{ASSET}.json
  2. Alert user
  3. Evaluate: empty slot in that strategy for next signal?

v6 note: Since DSL is a combined runner iterating all strategies, no per-position crons to manage. Just set active: false in the state file.


DSL v4 — Trailing Stop System

Phase 1 (Pre-Tier 1): Absolute floor

  • LONG floor = entry x (1 – 5%/leverage)
  • SHORT floor = entry x (1 + 5%/leverage)
  • 3 consecutive breaches -> close
  • Max duration: 90 minutes (see Phase 1 Auto-Cut above)

Phase 2 (Tier 1+): Trailing tiers

Tier ROE Trigger Lock % of High-Water Breaches to Close
1 5% 50% 2
2 10% 65% 2
3 15% 75% 2
4 20% 85% 1

Stagnation Take-Profit

Auto-close if ROE >= 8% and high-water stale for 1 hour.

DSL State File

Each position gets state/{strategyKey}/dsl-{ASSET}.json. The combined runner iterates all active state files across all strategies. See references/state-schema.md for the full schema and critical gotchas (triggerPct not threshold, lockPct not retracePct, etc.).


Opportunity Scanner v6

The v6 scanner addresses all reliability issues from the previous version:

Fix What Changed
BTC Macro Context Stage 0 analyzes BTC 4h+1h trend. Prevents alt longs during BTC crashes.
Hourly Trend Filter classify_hourly_trend() analyzes swing structure. Counter-trend on hourly = hard skip.
Hard Disqualifiers 6 conditions that skip assets entirely (not just penalize score).
Parallel Fetches ThreadPoolExecutor for candle fetches (~20s vs ~60s).
Cross-Scan Momentum scoreDelta and scanStreak from scan history.
Configurable Thresholds Read from history/scanner-config.json.
Per-TF Error Recovery One failed timeframe doesn’t kill the asset.
Position Awareness Checks ALL strategies’ DSL states for conflicts.
No Cold Start First scan produces baseline results immediately.

Hard Disqualifiers

  1. Counter-trend on hourly (the “$346 lesson”)
  2. Extreme RSI (<20 shorts, >80 longs)
  3. Counter-trend on 4h with strength >50
  4. Volume dying (<0.5x on both timeframes)
  5. Heavy unfavorable funding (>50% annualized)
  6. BTC macro headwind >30 points

Disqualified assets appear in output with reason and wouldHaveScored for transparency.


Rotation Rules

When slots are full in a strategy and a new FIRST_JUMP or IMMEDIATE fires:

  • Rotate if: new signal is FIRST_JUMP or has 3+ reasons + positive velocity AND weakest position in that strategy is flat/negative ROE with SM conv 0-1
  • Hold if: current position in Tier 2+ or trending up with SM conv 3+
  • Cross-strategy: If one strategy is full but another has slots, route to the available strategy instead of rotating

Budget Scaling

All sizing is calculated from budget (30% per slot):

Budget Slots Margin/Slot Leverage Daily Loss Limit
$500 2 $150 7x -$75
$2,000 2 $600 10x -$300
$6,500 3 $1,950 10x -$975
$10,000+ 3-4 $3,000 10x -$1,500

Minimum leverage: 7x. If max leverage for an asset is below 7x, skip it. Low leverage = low ROE = DSL tiers never trigger = dead position.

Auto-Delever: If a strategy’s account drops below its autoDeleverThreshold -> reduce max slots by 1, close weakest in that strategy.


Position Lifecycle

Opening

  1. Signal fires -> validate checklist -> route to best-fit strategy
  2. create_position on that strategy’s wallet (use leverageType: "ISOLATED" for XYZ assets)
  3. Create DSL state file in state/{strategyKey}/dsl-{ASSET}.json with strategyKey field
  4. Alert user

Closing

  1. Close via close_position (or DSL auto-closes)
  2. Immediately set DSL state active: false
  3. Alert user with strategy name for context
  4. Evaluate: empty slot in that strategy for next signal?

Margin Types

  • Cross-margin for crypto (BTC, ETH, SOL, etc.)
  • Isolated margin for XYZ DEX (GOLD, SILVER, TSLA, etc.) — set leverageType: "ISOLATED" and dex: "xyz"
  • Same wallet holds both cross crypto + isolated XYZ side by side

XYZ Equities

XYZ DEX assets (GOLD, SILVER, TSLA, AAPL, etc.) behave differently:

  • Ignore trader count. XYZ equities often have low SM trader counts — this doesn’t invalidate the signal.
  • Use reason count + rank velocity as primary quality filter instead.
  • Always use isolated margin (leverageType: "ISOLATED", dex: "xyz").
  • Check max leverage — many XYZ assets cap at 5x or 3x. If below 7x, skip.

Token Optimization

  • Skip redundant checks when data < 3 min old
  • If all strategy slots full and no FIRST_JUMPs -> skip scanner processing
  • If SM check shows no flips and < 5 min old -> skip

Known Limitations

  • Watchdog blind spot for XYZ isolated: The watchdog monitors cross-margin buffer but can’t see isolated position liquidation distances in the same way. XYZ positions rely on DSL for protection.
  • Health check only sees crypto wallet: The health check can’t see XYZ positions for margin calculations. Total equity may differ.
  • Scanner needs history for momentum: Cross-scan momentum (scoreDelta, scanStreak) requires at least 2 scans. First scan produces scored results immediately but without momentum data.

Backward Compatibility

  • wolf_config.py auto-migrates legacy wolf-strategy.json to registry format on first load
  • Old dsl-state-WOLF-*.json files detected and migrated to state/wolf-{id}/dsl-*.json
  • All scripts work with both layouts during transition
  • Legacy dsl-v4.py still works for single-position use via DSL_STATE_FILE env var

Troubleshooting

See references/learnings.md for known bugs, gotchas, and trading discipline rules. Key ones:

  • dryRun: true actually executes — NEVER use dryRun
  • Max leverage varies per asset — always check max-leverage.json
  • close_position is the close tool — not edit_position
  • Tier 1 lock != guaranteed profit — lock is from high-water, not entry

Scripts Reference

Script Purpose
scripts/wolf-setup.py Setup wizard — adds strategy to registry from budget
scripts/wolf_config.py Shared config loader — all scripts import this
scripts/emerging-movers.py Emerging Movers v4 scanner (FIRST_JUMP, IMMEDIATE, CONTRIB_EXPLOSION)
scripts/dsl-combined.py DSL v4 combined trailing stop engine (all positions, all strategies)
scripts/dsl-v4.py DSL v4 single-position engine (legacy, still works)
scripts/sm-flip-check.py SM conviction flip detector (multi-strategy)
scripts/wolf-monitor.py Watchdog — per-strategy margin buffer + position health
scripts/opportunity-scan-v6.py Opportunity Scanner v6 (BTC macro, hourly trend, disqualifiers)
scripts/job-health-check.py Per-strategy orphan DSL / state validation